Use of GAN approach in order to generate monte carlo noise applied on synthesis images
Jérôme BUISINE
714bc0055b
Merge branch 'release/v0.0.2'
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5 年之前 | |
|---|---|---|
| synthesis_images | 5 年之前 | |
| .gitignore | 5 年之前 | |
| Dockerfile | 6 年之前 | |
| LICENSE | 5 年之前 | |
| Makefile | 6 年之前 | |
| README.md | 5 年之前 | |
| ganAtariImage.py | 6 年之前 | |
| ganSynthesisImage.py | 5 年之前 | |
| ganSynthesisImage_100.py | 5 年之前 | |
| ganSynthesisImage_200.py | 5 年之前 | |
| noise_gan.ipynb | 5 年之前 | |
| prepare_data.py | 5 年之前 | |
| requirements.txt | 6 年之前 | |
| tensorboard.ipynb | 5 年之前 |
README.md
Noise Generation
Description
Study of how to generate noise filter from monte carlo rendering in synthesis images using Generative Adversarial Network approach. The aim of this project is to reproduce monte carlo noise obtained during rendering.
How to use ?
pip install -r requirements.txt
python prepare_data.py
python ganSynthesisImage_200.py